Job Description

Job Title: AI/Gen AI Engineer (Python) Location: Bangalore, India(Onsite) Job Description: We are seeking a highly skilled AI/Gen AI Engineer with 7+ years of experience in Python and extensive expertise in AI/Generative AI frameworks. The ideal candidate should have strong proficiency in data manipulation libraries such as Pandas and NumPy, along with hands-on experience in implementing and managing Large Language Models (LLMs). Key Responsibilities: • Develop and maintain AI/Gen AI solutions using Python. • Work with LLMs, ensuring their effective implementation and optimization. • Utilize FastAPI for API development and integration. • Apply software engineering best practices, including version control (Git), CI/CD pipelines, and automated testing. • Implement MLOps and ML engineering strategies to streamline AI model deployment and monitoring. • Leverage DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform for efficient deployment and scaling. • Ensure robust CI/CD practices for AI/ML workflows. Required Skills & Experience: • 7+ years of experience in Python development. • Strong understanding of AI/Gen AI frameworks. • Hands-on experience with LLMs. • Expertise in data manipulation using Pandas and NumPy. • Proficiency in FastAPI for API development. • Strong grasp of software engineering principles, including Git, CI/CD, and automated testing. • Experience in MLOps, ML engineering, and AI model lifecycle management. • Proficiency in DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform., and Swagger is must • Strong understanding of JavaScript programming language • Experience with SQL and NoSQL databases • Experience with RESTful API design and development • Experience with unit testing and test-driven development (Jest) • Excellent problem-solving and debugging skills. • Ability to work independently and as part of a team. • Strong communication and interpersonal skills • Experience with cloud computing platforms such as AWS or Azure • Experience with container orchestration technologies such as Docker and Kubernetes • Experience with continuous integration and continuous delivery (CI/CD) pipelines • Experience with leading and mentoring development teams • Strong knowledge of integration patterns, technologies, and tools • Experience with integration platforms such as MuleSoft, Dell Boomi, or similar. • Experience with API management platforms such as Apisix, Apigee, Kong, or similar. • Experience with cloud-based integration solutions such as AWS, Azure, or similar. • Strong understanding of microservices architecture and RESTful APIs • Experience in designing and implementing complex integration solutions for enterprise-level applications